Technology is moving forward, as well as the problem with the fast fashion industry. Hence, second hand online shopping is growing because of this. Therefore, the purpose of this thesis is to explain the impacts of perceived quality, customer expectations and trust on customer satisfaction in online second hand shopping? To be able to conduct this research, the theoretical framework includes the dependent variable Customer satisfaction and the three independent variables, perceived quality, customer expectations and trust. These variables led to three hypotheses created by the authors. Through a deductive approach and within quantitative research a questionnaire was made to gather data that was published on social media platforms. The data was collected through convenience sampling within the population chosen. However, both ethical and societal issues have been taken into account while doing the questionnaire and conducting the data. The collected data was runned through SPSS to create statistical models and test the three hypotheses created. Thereafter it could be seen that hypothesis 1 was accepted and hypotheses 2 and 3 were rejected. This concluded that only perceived quality has a positive effect on customer satisfaction in a second hand online shopping context.

In recent time, GIS technology has been used in banking sector. Geographical  Information System uses to make a better management in various sectors in the real life world. The GIS technology covered how to make a decision, data sourcing, data quality and used them in real time environments. Now days GIS is one of the useful analysis  tool,  where  we  can  implement  our  thinking  based  on  several  real  life  applications. Developed countries have made proper utilization of GIS technology. At present  Bangladesh  need  to  utilizes  GIS  technology  to  develop  in  different  organizational  sectors  such  as  banking,  fleet  management,  emergency  services,  and tourism and government infrastructure. For example, In the banking sector, we can implement this technology to provides high quality of services to the customers within short  time.  Therefore,  GIS  technology  provide  the  proper  support  in  bank  industry  and our thesis title “Usability of GIS in banking sector” will provide an experimental outline  about  the  banking  sector  in  Dhaka,  Bangladesh.  Generally,  it  is  a  demo  version  for  a  banking  sector,  that  would  be  provide  to  identify  their  customers,  the location  of  the  ATM  booths,  evaluate  land  value,  and  find  out  the  shortest  path,  nearest service centre, important building and city information. At present there is no such  kind  of  existing  model  for  banking  sector  in  Bangladesh.  So,  we  identify  the  problem  and  decide  to  implement  our  model.  In  our  proposed  frame  work,  we  used different type of GIS tools such as ArcMap, ArcCatalog, ArcPad, CartaLinx, ArcView etc. To implement this model we needed to digitize Dhaka city base map and input different  type  of  data.  For  the  experiment  part,  we  have  chosen  secondary  data  collection method and theoretical frame work support. We have made our own data model to do this experiment and we have covered maximum area in Dhaka city, where we choose a model area named “Motijheel”. Finally we have discussed the simulation result  according  to  our  framework,  which  provides  user  friendly  information.  Our  thesis paper focuses an integrated approach of GIS based system which increases the bank profitability.

No description available.

No description available.

Yes / Increased use of smart technologies by customers is leading to recognition of their influence on the shopping experiences of customers by practitioners. However, the academic literature fails to acknowledge the influence of smart technology usage, combined with behavioural intention of the customer, on the dynamics and experience of customers. This research utilises explanatory research at the preliminary stage to examine this phenomenon in a retail setting. A conceptual framework was created, based on the scholarly knowledge available in extant literature, and was tested using a survey of a convenience sample of 330 consumers shopping in a high-end retail store in London, United Kingdom. Structural Equation Modelling (SEM) via AMOS was employed to test the proposed model. This study contributes to technology adoption based consumer behaviour literature, by explaining the ability of learning commitment to drive the participation of an individual, but its inability to influence their behavioural intention. Findings of this research also reflect on the role of customer dynamics and customer experience in embracing innovative application of smart technologies in a retail setting. The results and implications included in our study also contribute to the understanding of the determinants that affect customer dynamics and customer experience when making use of smart technologies.

Yes / Organizations worldwide are becoming more interested in utilizing social media applications to enhance their marketing capabilities. One of the main fruits of integrating social media applications into the marketing, information technology and information systems areas is social customer relationship management (SCRM). SCRM has been the focus of attention for both marketing academics and practitioners. However, as this area is quite new, there is a need to propose a theoretical foundation explaining how using social media platforms for SCRM systems could predict customer engagement and customer relationship performance. Three main factors, i.e. social media use, a customer-centric management system, and relationship marketing orientation, are considered as key predictors of SCRM. SCRM is proposed as a key determinant of customer engagement, which in turn affects customer relationship performance. The proposed research methodology suggests conducting a quantitative study to validate the current study model. Further discussion regarding the research contribution and main limitations are provided in the last sections.

No description available.

No description available.

No description available.

No description available.